Date of Publication :18th January 2019

Abstract: Recent advancements in Internet of Things (IoT) have emerged to exploit in many real world applications. Deep learning (DL) is gaining importance due to its incomparable analytics results and recommendations. The major challenge of IoT devices is availability of limited resource, which opens door for many researches on smart data processing and resource allocation. In this study, we provide an overview of DL techniques exploited for IoT domain. The study focuses on resource allocation and workload management for IoT data using DL techniques. We summarize recent researches that leveraged DL techniques in IoT domain. This survey covers IoT devices integrated with DL techniques for smart data process and resource allocation. We also study DL techniques incorporated on edge computing and cloud computing data centers for IoT applications

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